Podcast thumbnail for Prove It To Me - Real Research, Real Data, No BS

Prove It To Me - Real Research, Real Data, No BS

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by Dr. Matt Law

5.0(1 reviews)
33 episodes
Updated Weekly
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13

Podcast Authority

Beta
PoorBased on show quality, social media presence, reviews, charts, and more
Pod Engine
Quality13
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YouTube0
Engagement32

Podcast Overview

Do you get tired of big ideas, exorbitant pitches, inactionable concepts, and empty promises? Cool, me too. I’m Dr. Matt Law, and I’m the host of ”Prove It To Me”. This podcast aims to put theories to the test and bring good research to light by showcasing evidence-based solutions. Guests will be challenged to identify things that actually work, provide research and data to back up their claims, and tell us how to measure and manage real solutions. You’ll hear about a lot of environmental health and occupational safety theories and concepts, but you’ll also learn about general business solutions and maybe even some everyday things that you can apply to your life. We’ll also cover general topics about research, whether it be about measurement tools, statistics, or what differentiates good research from, well, the not so good information out there. ”Prove It To Me” is nerdy. It is serious. It is jovial and fun. It is optionally explicit, but your kids will probably be asleep before we get to any bad stuff anyway. If you’re ready to cut through the BS, maybe learn a little bit about research, and get into the nitty gritty of whether big ideas work or not, you’re in the right place. Have some evidence-based research to share? Send an email to contact@proveitpod.com today! Disclaimer: The views and opinions expressed in this podcast are those of the host and its guests and do not necessarily represent the official position, opinion, or strategies of their employers or companies. Examples of research and data analysis discussed within this podcast are only examples. They should not be utilized in the real world as the only solution available as they are based on very limited, often single-use case, and sometimes dated information. Assumptions made within this discussion about research and data analyses are not necessarily representative of the position of the host, the guests, or their employers or companies. No part of this podcast may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, mechanical, electronic, recording, or otherwise without prior written permission of the creator of the podcast. The presentation of content by the guests does not necessarily constitute an active endorsement of the content by the host.

Language

🇺🇲

Publishing Since

11/13/2024

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13

Podcast Authority

Beta
PoorBased on show quality, social media presence, reviews, charts, and more
Pod Engine
Quality13
Social0
YouTube0
Engagement32
5
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13
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excellent
Episode Length
36 minutes
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good
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Recent Episodes

Episode thumbnail for Ep 216 - You’re Not Funny (The Data Science of Dad Jokes)

July 3, 2026

Ep 216 - You’re Not Funny (The Data Science of Dad Jokes)

Can you statistically prove why your dad jokes are terrible? A team of researchers scraped over 32,000 jokes from Reddit to find out. In this #StudyFinds episode of #ProveItPod, Dr. Matt Law breaks down the anatomy of a dad joke, exploring the semantic distance and linguistic markers that make them succeed or bomb. We also do a critical peer-review of this unpublished preprint, looking at the limitations of Reddit data, the problem with hypercube subsampling, and the hazards of letting the media run with pre-registered findings. Finally, we pull out some practical takeaways for OSH professionals on how to use concreteness to make your safety training actually stick. References: Chesterton, G. (2026, May 19). Even science can’t make my dad jokes funny. The Telegraph. Silvia, P. J., & Burnett, M. I. (2025). What's brown and sticky? Peering into the ineluctable comedic mystery of dad humor with a handful of machine learning models, hundreds of humans, and tens of thousands of dad jokes [Unpublished preprint]. Department of Psychology, University of North Carolina at Greensboro; Department of Psychological and Brain Sciences, University of Massachusetts Amherst. https://osf.io/preprints/psyarxiv/ex2q7_v1

Episode thumbnail for Ep 215 - The Cannibal Brain Myth (What Sleep Deprivation Actually Does to Your Neurology)

June 26, 2026

Ep 215 - The Cannibal Brain Myth (What Sleep Deprivation Actually Does to Your Neurology)

Have you seen the viral meme claiming that a lack of sleep causes your brain to "eat itself"? On this #StudyFinds episode of #ProveItPod, Dr. Matt Law tracks down the actual science behind the sensationalism. We look at the original mouse study that sparked the panic, map it onto three massive human studies, and explain the mechanical reality of your brain's glymphatic system. Spoiler alert: your brain isn't eating itself, but your biological janitorial crew is aggressively dismantling your neural hardware. We break down the implications of acute sleep loss, the 25-year risk of dementia, and how untreated sleep apnea is the ultimate silent hazard for the modern workforce. References: Bellesi, M., de Vivo, L., Chini, M., Gilli, F., Tononi, G., & Cirelli, C. (2017). Sellp loss promotes astrocytic phagocytosis and microglial activation in mouse cerebral cortex. Journal of Neuroscience, 37(21), 5263-5273. https://doi.org/10.1523/JNEUROSCI.3981-16.2017 Benedict, C., Blennow, K., Zetterberg, H., & Cedernaes, J. (2020). Effects of acute sleep loss on diurnal plasma dynamics of CNS health biomarkers in young men. Neurology, 94(11), e1181-e1189. https://doi.org/10.1212/WNL.0000000000008866 Eugene, A. R., & Masiak, J. (2015). The neuroprotective aspects of sleep. MEDtube Science, 3(1), 35–40. https://pmc.ncbi.nlm.nih.gov/articles/PMC4651462/ Hopp, M. (n.d.) Sleep deprivation & brain health: Is your brain really eating itself? Daybreak. https://www.thedaybreak.com/resources/sleep-deprivation-and-brain-health-is-your-brain-really-eating-itself Sabia, S., Fayosse, A., Dumurgier, J., van Hees, V. T., Paquet, C., Sommerlad, A., Kivimäki, M., Dugravot, A., & Singh-Manoux, A. (2021) Association of sleep duration in middle and old age with incidence of dementia. Nature Communications, 12(1):2289. https://doi.org/10.1038/s41467-021-22354-2

Episode thumbnail for Ep 214 - Cognitive Submission, Metacognitive Laziness, and the AI Panic

June 5, 2026

Ep 214 - Cognitive Submission, Metacognitive Laziness, and the AI Panic

We've all sat through the fearmongering presentations about how #AI is going to ruin human intelligence. On this #StudyFinds episode of #ProveItPod, Dr. Matt Law tears apart a new study on how ChatGPT impacts learning and thinking. Does it actually make us lazy? We look at the trace data of how people use AI, why it creates beautiful products with zero actual learning, and how #safety professionals can avoid "rubber-stamp syndrome" when using AI to write safety programs and assess the likelihood of workplace risks. References: Fan, Y., Tang, L., Le, H., Shen, K., Tan, S., Zhao, Y., Shen, Y., Li, X., & Gašević, D. (2025). Beware of metacognitive laziness: Effects of generative artificial intelligence on learning motivation, processes, and performance. British Journal of Educational Technology, 56, 489–530. https://doi.org/10.1111/bjet.13544

33 total episodes available

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What is Prove It To Me - Real Research, Real Data, No BS?

Do you get tired of big ideas, exorbitant pitches, inactionable concepts, and empty promises? Cool, me too.

I’m Dr. Matt Law, and I’m the host of ”Prove It To Me”. This podcast aims to put theories to the test and bring good research to light by showcasing evidence-based solutions. Guests will be challenged to identify things that actually work, provide research and data to back up their claims, and tell us how to measure and manage real solutions.

You’ll hear about a lot of environmental health and occupational safety theories and concepts, but you’ll also learn about general business solutions and maybe even some everyday things that you can apply to your life. We’ll also cover general topics about research, whether it be about measurement tools, statistics, or what differentiates good research from, well, the not so good information out there.

”Prove It To Me” is nerdy. It is serious. It is jovial and fun. It is optionally explicit, but your kids will probably be asleep before we get to any bad stuff anyway.

If you’re ready to cut through the BS, maybe learn a little bit about research, and get into the nitty gritty of whether big ideas work or not, you’re in the right place.

Have some evidence-based research to share? Send an email to contact@proveitpod.com today!

Disclaimer: The views and opinions expressed in this podcast are those of the host and its guests and do not necessarily represent the official position, opinion, or strategies of their employers or companies. Examples of research and data analysis discussed within this podcast are only examples. They should not be utilized in the real world as the only solution available as they are based on very limited, often single-use case, and sometimes dated information. Assumptions made within this discussion about research and data analyses are not necessarily representative of the position of the host, the guests, or their employers or companies. No part of this podcast may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, mechanical, electronic, recording, or otherwise without prior written permission of the creator of the podcast. The presentation of content by the guests does not necessarily constitute an active endorsement of the content by the host.

How often does this podcast release new episodes?

This podcast updates weekly.

Where can I listen to this podcast?

This podcast is available on 6 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.

Does this podcast accept guests?

Information about guest appearances is not available.

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